A Novel Approach for Privacy Preserving In Lane Surface Monitoring Using Fog Computing

Internet of things is an emerging technology that enables communication among various computing devices using sensors. In these days people are cautious about the road surface condition that they travel. Therefore the road surface should be monitored and maintained. Multiple solutions has been proposed to monitor the road surface condition based on mobile sensing, crowd sensing and vehicle based sensing applications. These has provided a method for the analysis of the quality of roads. Cloud is more efficient and reliable in transportation of the data. The various challenges in cloud computing are mobility support, location awareness, privacy and security, more downtime, low latency and geo-distribution. Fog computing has been proposed in order to overcome these challenges. The article here we put forward a privacy preserving protocol namely Identity Based Signcryption for lane surface monitoring system using fog computing to provide security to the data that is transmitted. This privacy preserving protocol should meet the challenging requirements on various aspects such as secrecy, validity, truth, privacy and ambiguity. In order to preserve the privacy of the user a highly efficient identity based signcryption is proposed in this paper. So, only the authorized data can hit the cloud. The aim of this project is to develop an intelligent Lane surface monitoring system that preserves the privacy of the user.